Shield AI Signs Contract with Taiwan’s National Chung-Shan Institute of Science and Technology to Accelerate and Indigenize Taiwan-Developed AI Pilots

TAIPEI, February 11, 2026 /PRNewswire/ — Shield AI today announced that it has signed a contract with Taiwan’s National Chung-Shan Institute of Science and Technology (NCSIST) to advance the development, demonstration and deployment of AI-driven unmanned systems. The collaboration will integrate Shield AI’s Hivemind platform into NCSIST’s intelligent unmanned systems, supporting both software development and…

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SaaS bills climb as AI shakes up pricing: Zylo

Diving brief: The average organization now spends $55.7 million annually on software applications as a service, with artificial intelligence-based tools fastest growing, SaaS management company Zylo said in a report released Thursday. Even with software portfolios holding steady at an average of 305 applications, spending increased nearly 8% in 2025 from the previous year, according…

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Executives like David Solomon of Goldman Sachs say experience trumps everything in business, including brains. But Ricardo Amper, founder and CEO of the $1.25 billion software company Incode Technologies, believes Gen Z’s naivety is a professional blessing rather than a career curse. “My belief [is] that it is important to come out with a fresh…

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From chips to jobs: Huang’s vision for AI at Davos 2026

Speaking in Davos, Huang argued that investments in AI strengthen employment by reorienting work from tasks to purpose, particularly in healthcare, manufacturing and digital services. AI evolves into a fundamental economic system rather than a standalone technology, according to NVIDIA CEO Jensen Huang, who described AI as a five-layer infrastructure spanning energy, hardware, data centers,…

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Heterogeneous computing and the future of AI

Heterogeneous computing is quietly redefining how AI appears in everyday devices, bringing intelligence closer to where people actually use it rather than keeping it locked in remote cloud systems. As AI expands into physical products, success depends less on raw performance and more on how efficiently CPUs, GPUs, and NPUs work together. Heterogeneous computing manifests…

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